AI, Power & Society

Bootcamps produce tool users, not frontier researchers ASEAN needs a scientist-first AI talent strategy Fund PhDs, labs, and compute to invent, not import The statistic that should jolt us awake is simple: almost 40% of jobs

AI energy use is rising, but efficiency per task is collapsing Education improves outcomes by optimizing energy usage and focusing on small models.Do this, and costs and emissions fall while learning quality holds The key fig

babies is inevitable—focus on smart guardrails, not bans Mandate strict privacy, proven developmental claims, and designs that boost caregiver–infant serve-and-return Advance equity with vetted, prompt-only co-play tools in public settings and firm vendor standards

Europe’s schools rely on foreign AI infrastructure, creating vulnerability A neutral European stack with local compute and governance can secure continuity This ensures resilient, interoperable education under global tensions

AI prices reflect scarce compute and network effects, not just hype Educators must teach market dynamics and govern AI use Turn volatility into lasting learning gains In a time historically dominate

U.S.

AI translation reshapes the labor market, eroding low-skill roles while rewarding domain expertise Education must shift toward “language plus” skills—pairing translation with data, law, or health Policy should teach students to work with machines, not against them

AI and robotics remain narrow tools, excelling only in tightly defined tasks Human versatility—handling exceptions, combining roles, and adapting to context—remains the decisive advantage Education policy must prioritize training for this versatility, turning automation into complement rather than substitute

Student well-being is falling fast AI chatbots are spreading quickly Without safeguards, risks will escalate

AI’s IMO gold isn’t AGI Deploy it as an instrumented calculator Require refusal metrics and proof logs <